Cultural Distance-Aware Service Recommendation Approach in Mobile Edge Computing
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-14
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
In the era of big data, traditional computing systems and paradigms are not efficient and even difficult to use.
For high performance big data processing, mobile edge computing is emerging as a complement framework of cloud computing.
In this new computing architecture, services are provided within a close proximity of mobile users by servers at the edge of network.
Traditional collaborative filtering recommendation approach only focuses on the similarity extracted from the rating data, which may lead to an inaccuracy expression of user preference.
In this paper, we propose a cultural distance-aware service recommendation approach which focuses on not only the similarity but also the local characteristics and preference of users.
Our approach employs the cultural distance to express the user preference and combines it with similarity to predict the user ratings and recommend the services with higher rating.
In addition, considering the extreme sparsity of the rating data, missing rating prediction based on collaboration filtering is introduced in our approach.
The experimental results based on real-world datasets show that our approach outperforms the traditional recommendation approaches in terms of the reliability of recommendation.
American Psychological Association (APA)
Li, Yan& Guo, Yan. 2018. Cultural Distance-Aware Service Recommendation Approach in Mobile Edge Computing. Scientific Programming،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1214643
Modern Language Association (MLA)
Li, Yan& Guo, Yan. Cultural Distance-Aware Service Recommendation Approach in Mobile Edge Computing. Scientific Programming No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1214643
American Medical Association (AMA)
Li, Yan& Guo, Yan. Cultural Distance-Aware Service Recommendation Approach in Mobile Edge Computing. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1214643
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214643